Output‐feedback Solutions to Formation Control
Why this work is in the frame
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Bibliographic record
Abstract
This chapter introduces a comprehensive treatment of angular-position synchronization control and formation control without velocity signals. It then introduces the design of synchronization control for multi-vehicle systems (MVSs) under the constraint that only position signals are accessible for control design. The chapter focuses on bounded output-feedback synchronized tracking controller. It details the application of the passivity approach, which is based on the design of a simple first-order linear filter. The chapter presents the simulation results of cases which correspond to the linear control and the prior bounded control, respectively. The Lyapunov function based approach is used to prove the stability of a nonlinear variation of system. The chapter provides the theoretical results by simulation. The Matlab R2014a/simulation solver ode3 (Bogacki-Shampine) with a fixed-step size of 0.01 s is used in the simulation.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.028 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it